CAD and AI for breast cancer—recent development and challenges

Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms

(2019) Hongmin Cai et al.   Computational and Mathematical Methods in Medicine

Artificial intelligence in breast imaging

(2019) E.P.V. Le et al.   CLINICAL RADIOLOGY

Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images

(2019) Yunzhi Huang et al.   Biomedical Engineering Online

Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study

(2019) Alejandro Rodriguez-Ruiz et al.   EUROPEAN RADIOLOGY

Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network

(2019) Tomoyuki Fujioka et al.   JAPANESE JOURNAL OF RADIOLOGY

Improving Workflow Efficiency for Mammography Using Machine Learning

(2019) Trent Kyono et al.   Journal of the American College of Radiology

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms

(2019) Ayelet Akselrod-Ballin et al.   RADIOLOGY

Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer Risk

(2018) Aimilia Gastounioti et al.   ACADEMIC RADIOLOGY

Concurrent Computer-Aided Detection Improves Reading Time of Digital Breast Tomosynthesis and Maintains Interpretation Performance in a Multireader Multicase Study

(2018) Richard A. Benedikt et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks

(2018) Jeremy R Burt et al.   BRITISH JOURNAL OF RADIOLOGY

Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

(2018) Mohammed A. Al-masni et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep Convolutional Neural Networks for breast cancer screening

(2018) Hiba Chougrad et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A Radiomics Approach with CNN for Shear-wave Elastography Breast Tumor Classification

(2018) Yongjin Zhou et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification

(2018) Mugahed A. Al-antari et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Automated mammographic breast density estimation using a fully convolutional network

(2018) Juhun Lee et al.   MEDICAL PHYSICS

Breast mass classification via deeply integrating the contextual information from multi-view data

(2018) Hongyu Wang et al.   PATTERN RECOGNITION

A context-sensitive deep learning approach for microcalcification detection in mammograms

(2018) Juan Wang et al.   PATTERN RECOGNITION

A parasitic metric learning net for breast mass classification based on mammography

(2018) Zhicheng Jiao et al.   PATTERN RECOGNITION

Automatic breast ultrasound image segmentation: A survey

(2018) Min Xian et al.   PATTERN RECOGNITION

Natural Language–based Machine Learning Models for the Annotation of Clinical Radiology Reports

(2018) John Zech et al.   RADIOLOGY

Detecting and classifying lesions in mammograms with Deep Learning

(2018) Dezső Ribli et al.   Scientific Reports

Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study

(2018) Eun-Kyung Kim et al.   Scientific Reports

Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features

(2018) Bibo Shi et al.   Journal of the American College of Radiology

Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey

(2018) Qinghua Huang et al.   Biomed Research International

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

(2018) Moi Hoon Yap et al.   IEEE Journal of Biomedical and Health Informatics

Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography

(2018) Kayla Mendel et al.   ACADEMIC RADIOLOGY

Determination of mammographic breast density using a deep convolutional neural network

(2018) Alexander Ciritsis et al.   BRITISH JOURNAL OF RADIOLOGY

A review of computer aided detection in mammography

(2018) Janine Katzen et al.   CLINICAL IMAGING

SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis

(2018) Fei Gao et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI with Application to Radiogenomics

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning using Deep Neural Nets

(2018) Ravi K. Samala et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images

(2018) Seung Yeon Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder–decoder network

(2018) Baiying Lei et al.   NEUROCOMPUTING

Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network

(2018) Hwejin Jung et al.   PLoS One

Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening

(2018) Sarah S. Aboutalib et al.   CLINICAL CANCER RESEARCH

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials

(2018) Amita Shukla-Dave et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model

(2018) Yuzhou Hu et al.   MEDICAL PHYSICS

Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion

(2018) Michal Byra et al.   MEDICAL PHYSICS

Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

(2018) Constance D. Lehman et al.   RADIOLOGY

Classification of contrast-enhanced spectral mammography (CESM) images

(2018) Shaked Perek et al.   International Journal of Computer Assisted Radiology and Surgery

Is Intensity Inhomogeneity Correction Useful for Classification of Breast Cancer in Sonograms Using Deep Neural Network?

(2018) Chia-Yen Lee et al.   Journal of Healthcare Engineering

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI

(2018) Daniel Truhn et al.   RADIOLOGY

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

(2018) Alejandro Rodriguez-Ruiz et al.   JNCI-Journal of the National Cancer Institute

Artificial Intelligence in Breast Imaging: Potentials and Limitations

(2018) Ellen B. Mendelson   AMERICAN JOURNAL OF ROENTGENOLOGY

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning

(2017) Gustavo Carneiro et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning in Mammography

(2017) Anton S. Becker et al.   INVESTIGATIVE RADIOLOGY

Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective

(2017) Aly A. Mohamed et al.   JOURNAL OF DIGITAL IMAGING

Background, current role, and potential applications of radiogenomics

(2017) Katja Pinker et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

A deep learning approach for the analysis of masses in mammograms with minimal user intervention

(2017) Neeraj Dhungel et al.   MEDICAL IMAGE ANALYSIS

Using deep learning to segment breast and fibroglandular tissue in MRI volumes

(2017) Mehmet Ufuk Dalmış et al.   MEDICAL PHYSICS

Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network

(2017) Thijs Kooi et al.   MEDICAL PHYSICS

A deep learning method for classifying mammographic breast density categories

(2017) Aly A. Mohamed et al.   MEDICAL PHYSICS

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

(2017) Natalia Antropova et al.   MEDICAL PHYSICS

Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks

(2017) Reza Rasti et al.   PATTERN RECOGNITION

Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis

(2017) Dae Hoe Kim et al.   PHYSICS IN MEDICINE AND BIOLOGY

Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms

(2017) Ravi K Samala et al.   PHYSICS IN MEDICINE AND BIOLOGY

Representation learning for mammography mass lesion classification with convolutional neural networks

(2016) John Arevalo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

(2016) Michiel Kallenberg et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review

(2016) Roberta Fusco et al.   Journal of Medical and Biological Engineering

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

(2016) Ravi K. Samala et al.   MEDICAL PHYSICS

A deep feature based framework for breast masses classification

(2016) Zhicheng Jiao et al.   NEUROCOMPUTING

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

(2016) Jinhua Wang et al.   Scientific Reports

Deep learning

(2015) Yann LeCun et al.   NATURE

Computer-aided detection system for clustered microcalcifications in digital breast tomosynthesis using joint information from volumetric and planar projection images

(2015) Ravi K Samala et al.   PHYSICS IN MEDICINE AND BIOLOGY

Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection

(2015) Constance D. Lehman et al.   JAMA Internal Medicine

Impact of Computer-Aided Detection Systems on Radiologist Accuracy With Digital Mammography

(2014) Elodia B. Cole et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Digital breast tomosynthesis: computer-aided detection of clustered microcalcifications on planar projection images

(2014) Ravi K Samala et al.   PHYSICS IN MEDICINE AND BIOLOGY

Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical usea)

(2013) Zhimin Huo et al.   MEDICAL PHYSICS

Evaluation of computer-aided detection and diagnosis systemsa)

(2013) Nicholas Petrick et al.   MEDICAL PHYSICS

INbreast

(2011) Inês C. Moreira et al.   ACADEMIC RADIOLOGY

Computer-aided detection in breast MRI: a systematic review and meta-analysis

(2011) Monique D. Dorrius et al.   EUROPEAN RADIOLOGY

Effectiveness of Computer-Aided Detection in Community Mammography Practice

(2011) J. J. Fenton et al.   JNCI-Journal of the National Cancer Institute

Predicting and monitoring cancer treatment response with diffusion-weighted MRI

(2010) Harriet C. Thoeny et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Breast Cancer Screening With Imaging: Recommendations From the Society of Breast Imaging and the ACR on the Use of Mammography, Breast MRI, Breast Ultrasound, and Other Technologies for the Detection of Clinically Occult Breast Cancer

(2010) Carol H. Lee et al.   Journal of the American College of Radiology

Comparison of Computer-Aided Detection to Double Reading of Screening Mammograms: Review of 231,221 Mammograms

(2008) Matthew Gromet   AMERICAN JOURNAL OF ROENTGENOLOGY

Computer aids and human second reading as interventions in screening mammography: Two systematic reviews to compare effects on cancer detection and recall rate

(2008) Paul Taylor et al.   EUROPEAN JOURNAL OF CANCER

CAD in questions/answers

(2008) Bruno Boyer et al.   EUROPEAN JOURNAL OF RADIOLOGY

New Technologies for Human Cancer Imaging

(2008) John V. Frangioni   JOURNAL OF CLINICAL ONCOLOGY

Single Reading with Computer-Aided Detection for Screening Mammography

(2008) Fiona J. Gilbert et al.   NEW ENGLAND JOURNAL OF MEDICINE

Dynamic contrast-enhanced MRI in the diagnosis and management of breast cancer

(2008) Lindsay W. Turnbull   NMR IN BIOMEDICINE